maker_next_suggestion
Return a suggested next activity based on recent progress. No-op with a friendly canned reply for guest sessions.
This record as markdown: /tools/kh0pper-crow/maker-next-suggestion.md
What maker_next_suggestion does on Crow
AI agents call maker_next_suggestion to retrieve information from Crow without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why maker_next_suggestion is rated Low
This tool queries existing project data to generate suggestions. It performs no writes, destructive operations, code execution, or financial transactions. The read-only nature of analyzing progress to return a suggestion classifies it as a Read operation with low severity, as misuse would only surface inaccurate or unhelpful suggestions rather than causing system damage or data loss.
From the tool's definition Tool description states it "Return[s] a suggested next activity based on recent progress" and is a "No-op with a friendly canned reply for guest sessions." The verb "return" and "based on recent progress" indicate data retrieval and analysis without…
Attacks that exploit this kind of access
The rule that runs maker_next_suggestion safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Crow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For maker_next_suggestion, this is the rule to start with:
maker_next_suggestion is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Crow, apply this rule, and every maker_next_suggestion call is checked against it from then on.
Questions about maker_next_suggestion
Return a suggested next activity based on recent progress. No-op with a friendly canned reply for guest sessions. It is categorised as a Read tool in the Crow MCP Server, which means it retrieves data without modifying state.
Register the Crow MCP server in PolicyLayer and add a rule for maker_next_suggestion: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Crow. Nothing to install.
maker_next_suggestion is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the maker_next_suggestion rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for maker_next_suggestion. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
maker_next_suggestion is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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